Trees4Future designing trees for the future

Transcription

1 Trees4Future designing trees for the future Luc E. Pâques

2 Context: Forest and forestry research Increased demand for wood Environmental constraints Climate-water-fertility; pests Economical constraints Competition for land, Competition for resources Need for innovative approaches Silviculture & Industry Sustainability Genetic resources Management and use Increase of productivity

3 Context: Forest and forestry research INNOVATION Front-edge science & technology Multidisciplinarity- complementation Up-scaling Integration chain : flow STRUCTURATION

4 Context: Forest and forestry research Conservation of genetic resources Exploration of genetic diversity Adaptation Architecture of traits Growth Wild cherry - 23 Douglas-fir - 12 Sycomore - 13 Mass-propagation methodologies Breeding Selection Architecture Wood properties Spruces - 21 Poplars - 17 Larches - 17 Ash - 16 Scots pine - 16 Source: Treebreedex: Mertens et al.2008 FRM production and deployment Breeding programmes in Europe

5 Structuration of forestry research Research infrastructure network Training Exchange People Networking Access Infrastructure Research Access Up-grading Standardisation Methodology Up-grading

6 The complexity of forestry research INTERACTIONS SPACE TIME SCALE MULTI-TRAITS

7 Biology The complexity of forestry research Genotype Environment Phenotype Agriculture Forestry Move from a data-starved, largely observational discipline to a data-rich science capable of prediction Cobb et al. 2013

8 Trees4Future research infrastructure network Trees4Future RIN (I3) Designing trees for the future Treebreedex RIN (CA) European Forest Tree Breeding Centre Scots pine Genetic resources Experimental sites Phenotypic data Multi-traits growth, adaptation, quality Methodologies Scattered/endangered Documentation Accessibility Gross and few traits Standardisation, precision Treebreedex DB Need tools Multidisciplinarity Access Multi-traits Accuracy/precision/throughput Standardisation

9 Trees4Future & Tools: a data driven RIN-project Data collection: (WP2, WP3, WP7 & WP11) Standardisation High-throughput phenotyping Experimentation Data management: (WP1, WP4, WP9) Access Storage Integration (ontologies) Data analysis: (WP6) new statistical tools to extract biological signals from environmental/ experimental noises Data valuation: Monitoring - Modelling & Predicting (WP6, WP8, WP10)

10 Trees4Future: a data-driven project Collection of data Experimentation Methodologies Low-cost/non-destructive/ accurate/ fast methods to assess complex traits More efficient basis for exchange and interpretation of results Molecular based traceability system for FRM & wood

11 Management of data Collection of data Meta data Geno mic Pheno typic interoperability Genetic databases portal General T4F web-portal Forest resources information access ontologies Clearinghouse for GIS information Forest inventory Climate Soil Data analysis & valuation Spatial integration Statistical tools for genetic data analysis GxE Pedigree Compe free tition Efficient evaluation of genetic resources up-scaling Spatial models to predict suitability & yield Knowled Processbased ge-based Empirical Site matching tool Delineation of breeding zones compatibility Large scale forestry models Forgem Tosia Wood quality Efiscen Orchidee Assess goods and services, sustainability, and mitigation and adaptation strategies

12 Access to existing & complementary data sets Scale data access - multidisciplinarity? Rehfeldt et al. 1999, 2001, 2002 ; Andalo et al Hanewinkel et al Xenakis, TBDX 2009

13 Access to new & complementary data sets Breeding Material Phenotyping Select Phenotyping Select Phenotyping Select High-throughput phenotyping Scale data access - multidisciplinarity As many traits as possible (Hayes et al, JDS, 2009)

14 Towards a European Tree Breeding Centre R&D INFRASTRUCTURES Documentation (state-of-art) Data storage (genetic resources) Standards (labs&fields) Experts networks Tools INFRASTRUCT.? Management of genetic resources IPR ABS Exchange of information (workshops-seminars) Training (scientific-technical) Communication Joined Research projects Collaborative breeding programmes

15 Research Infrastructure access programme 28 research infrastructures INRA Genetics, genomics & breeding (Eco) physiology & biotechnology IDPAN METLA Wood science & technology Modeling INRA IITC Physical visits (up to 3 months) remote services data access UGCT ALTERRA

16 28 partners 13 countries WP1: S.Flush (AIT-AT) WP2: B.De Cuyper (INBO, BE) WP3: J.Climent (INIA, SP) WP4: L.Salminen (EFI, FI) WP5: F.Miglietta (FEM, IT) WP6: L.Sanchez (INRA, FR) WP7: B.Heinze (BFW, AT) WP8: D.Ray (FC, UK) WP9: R.Lockers (Alterra, NL) WP10: G.J.Nabuurs (Alterra, NL) WP11: L.E.Pâques (INRA, FR)

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